Yilun Zhou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 49

Top Topics

Spatial Autocorrelation

Semantic Parser

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu
Shared Imagination: LLMs Hallucinate Alike. CoRR (2024)
Daking Rai, Yilun Zhou, Shi Feng, Abulhair Saparov, Ziyu Yao
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models. CoRR (2024)
Yujun Mao, Yoon Kim, Yilun Zhou
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. CoRR (2024)
Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR (2024)
Yujun Mao, Yoon Kim, Yilun Zhou
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities. ACL (Findings) (2024)
Jianjun She, Zihao Guo, Zhijian Li, Shuwei Liang, Yilun Zhou
Research on scenario deduction and emergency decision-making evaluation for construction safety accidents. Reliab. Eng. Syst. Saf. 251 (2024)
Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. ACL (2) (2023)
Yilun Zhou
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. CoRR (2023)
Shiyuan Huang, Siddarth Mamidanna, Shreedhar Jangam, Yilun Zhou, Leilani H. Gilpin
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations. CoRR (2023)
Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques. CoRR (2023)
Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). AAAI (2023)
Yilun Zhou
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks. AIES (2023)
Yilun Zhou, Julie Shah
The Solvability of Interpretability Evaluation Metrics. EACL (Findings) (2023)
Shawn Im, Jacob Andreas, Yilun Zhou
Evaluating the Utility of Model Explanations for Model Development. CoRR (2023)
Daking Rai, Yilun Zhou, Bailin Wang, Ziyu Yao
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract). CoRR (2023)
Mycal Tucker, Yilun Zhou, Julie A. Shah
Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. 38 (18-20) (2022)
Yongjiu Feng, Yilun Zhou, Yanling Chen, Pengshuo Li, Mengrong Xi, Xiaohua Tong
Automatic selection of permanent scatterers-based GCPs for refinement and reflattening in InSAR DEM generation. Int. J. Digit. Earth 15 (1) (2022)
Yongjiu Feng, Peiqi Wu, Xiaohua Tong, Pengshuo Li, Rong Wang, Yilun Zhou, Jiafeng Wang, Jinyu Zhao
The effects of factor generalization scales on the reproduction of dynamic urban growth. Geo spatial Inf. Sci. 25 (3) (2022)
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
ExSum: From Local Explanations to Model Understanding. CoRR (2022)
Yilun Zhou, Julie Shah
The Solvability of Interpretability Evaluation Metrics. CoRR (2022)
Yilun Zhou, Marco Túlio Ribeiro, Julie Shah
ExSum: From Local Explanations to Model Understanding. NAACL-HLT (2022)
Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. AAMAS (2022)
Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah
Do Feature Attribution Methods Correctly Attribute Features? AAAI (2022)
Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI (2021)
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
RoCUS: Robot Controller Understanding via Sampling. CoRL (2021)
Rong Wang, Yongjiu Feng, Yongliang Wei, Xiaohua Tong, Shuting Zhai, Yilun Zhou, Peiqi Wu
A comparison of proximity and accessibility drivers in simulating dynamic urban growth. Trans. GIS 25 (2) (2021)
Yilun Zhou, Serena Booth, Marco Tílio Ribeiro, Julie Shah
Do Feature Attribution Methods Correctly Attribute Features? CoRR (2021)
Yilun Zhou, Adithya Renduchintala, Xian Li, Sida I. Wang, Yashar Mehdad, Asish Ghoshal
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS (2021)
Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
State-Visitation Fairness in Average-Reward MDPs. CoRR (2021)
Xinlei Yan, Yongjiu Feng, Xiaohua Tong, Pengshuo Li, Yilun Zhou, Peiqi Wu, Huan Xie, Yanming Jin, Peng Chen, Shijie Liu, Xiong Xv, Sicong Liu, Chao Wang
Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering. Int. J. Appl. Earth Obs. Geoinformation 102 (2021)
Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
The Irrationality of Neural Rationale Models. CoRR (2021)
Yilun Zhou, Adi Renduchintala, Xian Li, Sida I. Wang, Yashar Mehdad, Asish Ghoshal
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR (2021)
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
RoCUS: Robot Controller Understanding via Sampling. CoRR (2020)
Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR (2020)
Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR (2020)
Mycal Tucker, Yilun Zhou, Julie Shah
Adversarially Guided Self-Play for Adopting Social Conventions. CoRR (2020)
Yilun Zhou, Julie A. Shah, Steven Schockaert
Learning Household Task Knowledge from WikiHow Descriptions. CoRR (2019)
Yilun Zhou, Julie Shah, Steven Schockaert
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI (2019)
Yilun Zhou, Li Chen, Rong Xie, Li Song, Wenjun Zhang
Low-precision CNN Model Quantization based on Optimal Scaling Factor Estimation. BMSB (2019)
Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR (2019)
Yilun Zhou, Steven Schockaert, Julie A. Shah
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR (2019)
Yilun Zhou, Steven Schockaert, Julie Shah
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW (2019)
Yilun Zhou, Benjamin Burchfiel, George Dimitri Konidaris
Representing, learning, and controlling complex object interactions. Auton. Robots 42 (7) (2018)
Francesca Boem, Yilun Zhou, Carlo Fischione, Thomas Parisini
Distributed Pareto-optimal state estimation using sensor networks. Autom. 93 (2018)
Yilun Zhou, Francesca Boem, Thomas Parisini
Partition-based Pareto-optimal state prediction method for interconnected systems using sensor networks. ACC (2017)
Yilun Zhou, Kris Hauser
Incorporating side-channel information into convolutional neural networks for robotic tasks. ICRA (2017)
Kris Hauser, Yilun Zhou
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in a State-Cost Space. IEEE Trans. Robotics 32 (6) (2016)
Yilun Zhou, George Dimitri Konidaris
Representing and Learning Complex Object Interactions. Robotics: Science and Systems (2016)
Yilun Zhou, Francesca Boem, Carlo Fischione, Thomas Parisini
Distributed fault detection with sensor networks using pareto-optimal dynamic estimation method. ECC (2016)
Kris Hauser, Yilun Zhou
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space. CoRR (2015)
Yilun Zhou, Thomas Parisini, Marios M. Polycarpou
Detection of drift sensor faults in a class of nonlinear uncertain systems. CDC (2015)